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What's Missing: A Knowledge Gap Guided Approach for Multi-hop Question
  Answering

What's Missing: A Knowledge Gap Guided Approach for Multi-hop Question Answering

19 September 2019
Tushar Khot
Ashish Sabharwal
Peter Clark
    RALM
ArXivPDFHTML

Papers citing "What's Missing: A Knowledge Gap Guided Approach for Multi-hop Question Answering"

34 / 34 papers shown
Title
Careful Selection of Knowledge to solve Open Book Question Answering
Careful Selection of Knowledge to solve Open Book Question Answering
Pratyay Banerjee
Kuntal Kumar Pal
Arindam Mitra
Chitta Baral
41
60
0
24 Jul 2019
Understanding Dataset Design Choices for Multi-hop Reasoning
Understanding Dataset Design Choices for Multi-hop Reasoning
Jifan Chen
Greg Durrett
LRM
31
97
0
27 Apr 2019
Improving Question Answering with External Knowledge
Improving Question Answering with External Knowledge
Xiaoman Pan
Kai Sun
Dian Yu
Jianshu Chen
Heng Ji
Claire Cardie
Dong Yu
KELM
31
66
0
03 Feb 2019
Improving Machine Reading Comprehension with General Reading Strategies
Improving Machine Reading Comprehension with General Reading Strategies
Kai Sun
Dian Yu
Dong Yu
Claire Cardie
AI4CE
54
116
0
31 Oct 2018
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLM
SSL
SSeg
751
93,936
0
11 Oct 2018
HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question
  Answering
HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering
Zhilin Yang
Peng Qi
Saizheng Zhang
Yoshua Bengio
William W. Cohen
Ruslan Salakhutdinov
Christopher D. Manning
RALM
103
2,577
0
25 Sep 2018
Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book
  Question Answering
Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering
Todor Mihaylov
Peter Clark
Tushar Khot
Ashish Sabharwal
60
1,475
0
08 Sep 2018
Exploring Graph-structured Passage Representation for Multi-hop Reading
  Comprehension with Graph Neural Networks
Exploring Graph-structured Passage Representation for Multi-hop Reading Comprehension with Graph Neural Networks
Linfeng Song
Zhiguo Wang
Mo Yu
Yue Zhang
Radu Florian
D. Gildea
GNN
39
108
0
06 Sep 2018
Question Answering by Reasoning Across Documents with Graph
  Convolutional Networks
Question Answering by Reasoning Across Documents with Graph Convolutional Networks
Nicola De Cao
Wilker Aziz
Ivan Titov
BDL
RALM
GNN
52
224
0
29 Aug 2018
Know What You Don't Know: Unanswerable Questions for SQuAD
Know What You Don't Know: Unanswerable Questions for SQuAD
Pranav Rajpurkar
Robin Jia
Percy Liang
RALM
ELM
145
2,818
0
11 Jun 2018
Knowledgeable Reader: Enhancing Cloze-Style Reading Comprehension with
  External Commonsense Knowledge
Knowledgeable Reader: Enhancing Cloze-Style Reading Comprehension with External Commonsense Knowledge
Todor Mihaylov
Anette Frank
KELM
46
179
0
21 May 2018
SimpleQuestions Nearly Solved: A New Upperbound and Baseline Approach
SimpleQuestions Nearly Solved: A New Upperbound and Baseline Approach
Michael Petrochuk
Luke Zettlemoyer
23
89
0
24 Apr 2018
Neural Models for Reasoning over Multiple Mentions using Coreference
Neural Models for Reasoning over Multiple Mentions using Coreference
Bhuwan Dhingra
Qiao Jin
Zhilin Yang
William W. Cohen
Ruslan Salakhutdinov
GNN
LRM
30
104
0
16 Apr 2018
AllenNLP: A Deep Semantic Natural Language Processing Platform
AllenNLP: A Deep Semantic Natural Language Processing Platform
Matt Gardner
Joel Grus
Mark Neumann
Oyvind Tafjord
Pradeep Dasigi
Nelson F. Liu
Matthew E. Peters
Michael Schmitz
Luke Zettlemoyer
VLM
41
1,280
0
20 Mar 2018
Think you have Solved Question Answering? Try ARC, the AI2 Reasoning
  Challenge
Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge
Peter Clark
Isaac Cowhey
Oren Etzioni
Tushar Khot
Ashish Sabharwal
Carissa Schoenick
Oyvind Tafjord
ELM
RALM
LRM
52
2,474
0
14 Mar 2018
Deep contextualized word representations
Deep contextualized word representations
Matthew E. Peters
Mark Neumann
Mohit Iyyer
Matt Gardner
Christopher Clark
Kenton Lee
Luke Zettlemoyer
NAI
70
11,520
0
15 Feb 2018
WorldTree: A Corpus of Explanation Graphs for Elementary Science
  Questions supporting Multi-Hop Inference
WorldTree: A Corpus of Explanation Graphs for Elementary Science Questions supporting Multi-Hop Inference
Peter Alexander Jansen
Elizabeth Wainwright
Steven Marmorstein
Clayton T. Morrison
24
123
0
08 Feb 2018
Neural Natural Language Inference Models Enhanced with External
  Knowledge
Neural Natural Language Inference Models Enhanced with External Knowledge
Qian Chen
Xiao-Dan Zhu
Zhenhua Ling
Diana Inkpen
Si Wei
42
217
0
12 Nov 2017
Constructing Datasets for Multi-hop Reading Comprehension Across
  Documents
Constructing Datasets for Multi-hop Reading Comprehension Across Documents
Johannes Welbl
Pontus Stenetorp
Sebastian Riedel
SyDa
RALM
68
508
0
17 Oct 2017
Dynamic Integration of Background Knowledge in Neural NLU Systems
Dynamic Integration of Background Knowledge in Neural NLU Systems
Dirk Weissenborn
Tomávs Kovciský
Chris Dyer
37
62
0
08 Jun 2017
TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for
  Reading Comprehension
TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension
Mandar Joshi
Eunsol Choi
Daniel S. Weld
Luke Zettlemoyer
RALM
142
2,576
0
09 May 2017
RACE: Large-scale ReAding Comprehension Dataset From Examinations
RACE: Large-scale ReAding Comprehension Dataset From Examinations
Guokun Lai
Qizhe Xie
Hanxiao Liu
Yiming Yang
Eduard H. Hovy
ELM
129
1,329
0
15 Apr 2017
ConceptNet 5.5: An Open Multilingual Graph of General Knowledge
ConceptNet 5.5: An Open Multilingual Graph of General Knowledge
R. Speer
Joshua Chin
Catherine Havasi
103
2,874
0
12 Dec 2016
NewsQA: A Machine Comprehension Dataset
NewsQA: A Machine Comprehension Dataset
Adam Trischler
Tong Wang
Xingdi Yuan
Justin Harris
Alessandro Sordoni
Philip Bachman
Kaheer Suleman
61
891
0
29 Nov 2016
Bidirectional Attention Flow for Machine Comprehension
Bidirectional Attention Flow for Machine Comprehension
Minjoon Seo
Aniruddha Kembhavi
Ali Farhadi
Hannaneh Hajishirzi
92
2,088
0
05 Nov 2016
Enhanced LSTM for Natural Language Inference
Enhanced LSTM for Natural Language Inference
Qian Chen
Xiao-Dan Zhu
Zhenhua Ling
Si Wei
Hui Jiang
Diana Inkpen
LRM
ReLM
54
1,128
0
20 Sep 2016
SQuAD: 100,000+ Questions for Machine Comprehension of Text
SQuAD: 100,000+ Questions for Machine Comprehension of Text
Pranav Rajpurkar
Jian Zhang
Konstantin Lopyrev
Percy Liang
RALM
105
8,067
0
16 Jun 2016
Question Answering via Integer Programming over Semi-Structured
  Knowledge
Question Answering via Integer Programming over Semi-Structured Knowledge
Daniel Khashabi
Tushar Khot
Ashish Sabharwal
Peter Clark
Oren Etzioni
Dan Roth
35
101
0
20 Apr 2016
Text Understanding with the Attention Sum Reader Network
Text Understanding with the Attention Sum Reader Network
Rudolf Kadlec
Martin Schmid
Ondrej Bajgar
Jan Kleindienst
AIMat
RALM
41
313
0
04 Mar 2016
Compositional Semantic Parsing on Semi-Structured Tables
Compositional Semantic Parsing on Semi-Structured Tables
Panupong Pasupat
Percy Liang
CoGe
LMTD
33
773
0
03 Aug 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
408
9,233
0
06 Jun 2015
Large-scale Simple Question Answering with Memory Networks
Large-scale Simple Question Answering with Memory Networks
Antoine Bordes
Nicolas Usunier
S. Chopra
Jason Weston
69
697
0
05 Jun 2015
Towards AI-Complete Question Answering: A Set of Prerequisite Toy Tasks
Towards AI-Complete Question Answering: A Set of Prerequisite Toy Tasks
Jason Weston
Antoine Bordes
S. Chopra
Alexander M. Rush
Bart van Merriënboer
Armand Joulin
Tomas Mikolov
LRM
ELM
82
1,178
0
19 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
418
149,474
0
22 Dec 2014
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